Toward Realistic Human Crowd Simulations with Data-Driven Parameter Space Exploration - Kaidong Hu; Sejong Yoon; Vladimir Pavlovic; Mubbasir Kapadia (2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), Los Angeles, CA, USA, January 17-19, 2024, 2024)

Learning from Synthetic Human Group Activities - Che-Jui Chang; Danrui Li; Deep Patel; Parth Goel; Honglu Zhou; Seonghyeon Moon; Samuel S. Sohn; Sejong Yoon; Vladimir Pavlovic; Mubbasir Kapadia (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

MiRODES: Mini Intelligent Robot for On-campus Domain-specific Event Support - Mila Manzano; Kristen O'Donnell; Eden Espinosa; Sejong Yoon (Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024, Boulder, CO, USA, March 11-15, 2024, 2024)

TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction - Tony Qingze Liu; Danrui Li; Samuel S. Sohn; Sejong Yoon; Mubbasir Kapadia; Vladimir Pavlovic (Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIX, 2024)

TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction - Qingze Liu; Danrui Li; Samuel S. Sohn; Sejong Yoon; Mubbasir Kapadia; Vladimir Pavlovic (CoRR, 2024)

MSI: Maximize Support-Set Information for Few-Shot Segmentation - Seonghyeon Moon; Samuel S. Sohn; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic; Muhammad Haris Khan; Mubbasir Kapadia (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Learning from Synthetic Human Group Activities - Che-Jui Chang; Honglu Zhou; Parth Goel; Aditya Bhat; Seonghyeon Moon; Samuel S. Sohn; Sejong Yoon; Vladimir Pavlovic; Mubbasir Kapadia (CoRR, 2023)

A2X: An end-to-end framework for assessing agent and environment interactions in multimodal human trajectory prediction - Samuel S. Sohn; Mihee Lee; Seonghyeon Moon; Gang Qiao; Muhammad Usman; Sejong Yoon; Vladimir Pavlovic; Mubbasir Kapadia (Comput. Graph., 2022)

MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction - Mihee Lee; Samuel S. Sohn; Seonghyeon Moon; Sejong Yoon; Mubbasir Kapadia; Vladimir Pavlovic (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

HM: Hybrid Masking for Few-Shot Segmentation - Seonghyeon Moon; Samuel S. Sohn; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic; Muhammad Haris Khan; Mubbasir Kapadia (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XX, 2022)

Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction - Samuel S. Sohn; Seonghyeon Moon; Honglu Zhou; Mihee Lee; Sejong Yoon; Vladimir Pavlovic; Mubbasir Kapadia (Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022, 2022)

MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction - Mihee Lee; Samuel S. Sohn; Seonghyeon Moon; Sejong Yoon; Mubbasir Kapadia; Vladimir Pavlovic (CoRR, 2022)

HMFS: Hybrid Masking for Few-Shot Segmentation - Seonghyeon Moon; Samuel S. Sohn; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic; Muhammad Haris Khan; Mubbasir Kapadia (CoRR, 2022)

An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction - Gang Qiao; Kaidong Hu; Seonghyeon Moon; Samuel S. Sohn; Sejong Yoon; Mubbasir Kapadia; Vladimir Pavlovic (CoRR, 2022)

MSI: Maximize Support-Set Information for Few-Shot Segmentation - Seonghyeon Moon; Samuel S. Sohn; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic; Muhammad Haris Khan; Mubbasir Kapadia (CoRR, 2022)

A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction - Samuel S. Sohn; Mihee Lee; Seonghyeon Moon; Gang Qiao; Muhammad Usman; Sejong Yoon; Vladimir Pavlovic; Mubbasir Kapadia (MIG '21: Motion, Interaction and Games, Virtual Event, Switzerland, November 10-12, 2021, 2021)

Constructivist Approaches for Computational Emotions: A Systematic Survey - Alexander Viola; Vladimir Pavlovic; Sejong Yoon (Computational Theory of Mind for Human-Machine Teams - First International Symposium, ToM for Teams 2021, Virtual Event, November 4-6, 2021, Revised Selected Papers, 2021)

Predicting Crowd Egress and Environment Relationships to Support Building Design Optimization - Kaidong Hu; Sejong Yoon; Vladimir Pavlovic; Petros Faloutsos; Mubbasir Kapadia (Comput. Graph., 2020)

Model AI Assignments 2020 - Todd W. Neller; Stephen Keeley; Michael Guerzhoy; Wolfgang Hönig; Jiaoyang Li; Sven Koenig; Ameet Soni; Krista Thomason; Lisa Zhang; Bibin Sebastian; Cinjon Resnick; Avital Oliver; et al. (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Laying the Foundations of Deep Long-Term Crowd Flow Prediction - Samuel S. Sohn; Honglu Zhou; Seonghyeon Moon; Sejong Yoon; Vladimir Pavlovic; Mubbasir Kapadia (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIX, 2020)

A Neural Network Approach for Birds of a Feather Solvability Prediction - Benjamin Sang; Sejong Yoon (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

A Hybrid Approach for Video Memorability Prediction - Alexander Viola; Sejong Yoon (Working Notes Proceedings of the MediaEval 2019 Workshop, Sophia Antipolis, France, 27-30 October 2019, 2019)

Scenario Generalization of Data-driven Imitation Models in Crowd Simulation - Gang Qiao; Honglu Zhou; Mubbasir Kapadia; Sejong Yoon; Vladimir Pavlovic (Motion, Interaction and Games, MIG 2019, Newcastle upon Tyne, UK, October 28-30, 2019, 2019)

Scenario Generalization of Data-driven Imitation Models in Crowd Simulation - Gang Qiao; Honglu Zhou; Mubbasir Kapadia; Sejong Yoon; Vladimir Pavlovic (CoRR, 2019)

Deep Crowd-Flow Prediction in Built Environments - Samuel S. Sohn; Seonghyeon Moon; Honglu Zhou; Sejong Yoon; Vladimir Pavlovic; Mubbasir Kapadia (CoRR, 2019)

The Role of Data-Driven Priors in Multi-Agent Crowd Trajectory Estimation - Gang Qiao; Sejong Yoon; Mubbasir Kapadia; Vladimir Pavlovic (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Predicting Memorability via Early Fusion Deep Neural Network - Aaron Weiss; Benjamin Sang; Sejong Yoon (Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia Antipolis, France, 29-31 October 2018, 2018)

Object-Centric Scene Understanding for Image Memorability Prediction - Sejong Yoon; Jongpil Kim (IEEE 1st Conference on Multimedia Information Processing and Retrieval, MIPR 2018, Miami, FL, USA, April 10-12, 2018, 2018)

TCNJ-CS@MediaEval 2017 Predicting Media Interestingness Task - Sejong Yoon (Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017, 2017)

TCNJ-CS@MediaEval 2017 Emotional Impact of Movie Task - Sejong Yoon (Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017, 2017)

Characterizing the relationship between environment layout and crowd movement using machine learning - Weining Liu; Vladimir Pavlovic; Kaidong Hu; Petros Faloutsos; Sejong Yoon; Mubbasir Kapadia (Proceedings of the Tenth International Conference on Motion in Games, MIG 2017, Barcelona, Spain, November 08 - 10, 2017, 2017)

The Role of Data-driven Priors in Multi-agent Crowd Trajectory Estimation - Gang Qiao; Sejong Yoon; Mubbasir Kapadia; Vladimir Pavlovic (CoRR, 2017)

Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty - Changkyu Song; Sejong Yoon; Vladimir Pavlovic (Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA, 2016)

Decentralized Approximate Bayesian Inference for Distributed Sensor Network - Behnam Gholami; Sejong Yoon; Vladimir Pavlovic (Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA, 2016)

Filling in the blanks: reconstructing microscopic crowd motion from multiple disparate noisy sensors - Sejong Yoon; Mubbasir Kapadia; Pritish Sahu; Vladimir Pavlovic (2016 IEEE Winter Applications of Computer Vision Workshops, WACV 2016 Workshops, Lake Placid, NY, USA, March 10, 2016, 2016)

Mean field variational inference using bregman ADMM for distributed camera network - Behnam Babagholami-Mohamadabadi; Sejong Yoon; Vladimir Pavlovic (Proceedings of the 9th International Conference on Distributed Smart Camera, Seville, Spain, September 8-11, 2015, 2015)

Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty - Changkyu Song; Sejong Yoon; Vladimir Pavlovic (CoRR, 2015)

D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM - Behnam Babagholami-Mohamadabadi; Sejong Yoon; Vladimir Pavlovic (CoRR, 2015)

Sentiment Flow for Video Interestingness Prediction - Sejong Yoon; Vladimir Pavlovic (Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia, HuEvent '14, Orlando, Florida, USA, November 7, 2014, 2014)

Relative spatial features for image memorability - Jongpil Kim; Sejong Yoon; Vladimir Pavlovic (ACM Multimedia Conference, MM '13, Barcelona, Spain, October 21-25, 2013, 2013)

Distributed Probabilistic Learning for Camera Networks with Missing Data - Sejong Yoon; Vladimir Pavlovic (Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States, 2012)

PR-RAM: The Page Rank Routing Algorithm Method in Ad-hoc wireless networks - Sejong Yoon; Doohyun Ko; Sanghoon Koh; Heungwoo Nam; Sunshin An (2011 IEEE Consumer Communications and Networking Conference, CCNC 2011, Las Vegas, NV, 9-12 January, 2011, 2011)

k-Top Scoring Pair Algorithm for feature selection in SVM with applications to microarray data classification - Sejong Yoon; Saejoon Kim (Soft Comput., 2010)

AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM - Sejong Yoon; Saejoon Kim (BMC Medical Informatics Decis. Mak., 2009)

Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms - Sejong Yoon; Saejoon Kim (Pattern Recognit. Lett., 2009)

Multiple SVM-RFE Using Boosting for Mammogram Classification - Sejong Yoon; Saejoon Kim (Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, CSO 2009, Sanya, Hainan, China, 24-26 April 2009, Volume 1, 2009)

Computer-Aided Diagnosis of Cross-Institutional Mammograms Using Support Vector Machines with Feature Elimination - Saejoon Kim; Sejong Yoon; Donghyuk Shin (Frontiers in the Convergence of Bioscience and Information Technologies 2007, FBIT 2007, Jeju Island, Korea, October 11-13, 2007, 2007)